Smart Expo Frontier | From "Manufacturing" to "Intelligent Manufacturing"
Author:Chinese science and technology Time:2022.08.05
The 2022 China International Intelligent Industry Expo (referred to as the 2022 Intelligent Expo) will open at the Chongqing Yuelai International Conference Center from August 22nd to 24th. This year's Smart Expo continues the theme of "intelligent: empowering economy, add color to life", focus on the construction of "intellectual manufacturing towns" and "smart city", create a new platform for ideological views, summarize new results in digital Chongqing, show digital applications New scene.
As the first echelon of the Industrial Internet, Wide -area Mingdao will also appear in the Smart Expo as scheduled, focusing on presenting the application practice of Geega (Jiga) Industrial Internet Platform (hereinafter referred to as "Geega Platform") to empower the digital transformation of manufacturing and show the Geega platform From the transformation of accelerating the automotive industry to cross -industry and cross -domain services, it shows that industrial software is used as the core to comprehensively empower intelligent manufacturing, and build an industrial innovation ecosystem.
▲ Geega Smart Expo booth in the Central Hall of Chongqing Yuelai Convention and Exhibition Center
Continue to cultivate the automotive industry chain
Relying on the deep manufacturing of Geely for more than 30 years, the deepening of the automotive industry chain, the Geega platform created by the Geega platform is the only national cross -industry -crossing industrial Internet platform that comes from the automotive industry. It has both OT and IT strength. The mechanical model that can be used for large -scale relics, for the upstream and downstream of the industrial chain supply chain, the enterprise research, production, supply, sales, and service operations operate the full chain, provide digital comprehensive services with industrial software as the core to accurately improve the efficiency of enterprise production and management efficiency Essence
Taking the Link Factory as an example, to build the Link Industry IoT platform, and start from the fields of production management, production execution, quality management, energy consumption management, etc., in the field of process quality management, it has launched the size quality control based on the tolerance -based conduction model. APP, welding -based welding joint quality management APP based on welding parameter recommendation models, and root -based analysis coating process quality APPs and other solutions help the automotive industry process quality optimization and improvement. "Taking the quality management system of the solder joints as an example, using industrial mechanism models, machine learning, AI algorithm and other technologies to digitize nearly 3,000 solder joints in the car manufacturing process. Through the monitoring platform For quality analysis, the qualification rate has been greatly improved to the real -time warning of defective soldering in the production process. "
At the same time, based on the multi -production factor operating model, the main plan of the main plan is flexible scheduling solutions, and the production resource dispatch control hub with production scheduling as the core is established. By introducing industrial software into various business links, it has truly realized the punch of the Link Factory. The integrated operation of welding, coating, total, logistics, and energy management has improved the digital management level of the factory as a whole.
Accelerate the industrial chain supply chain association
As one of the core cost expenditures of industrial enterprises, the supply chain is an important part of cost control. However, the current supply chain market still has problems such as information occlusion, poor visibility, and low collaborative efficiency. The digital transformation of the system has become a top priority. Based on this, the quality, procurement, warehousing and logistics and other factors such as suppliers at all levels and chain -owned enterprises are constructed. The solution contains "one platform"+"three clouds"-that is, a car supply chain collaboration platform and warehousing logistics cloud, quality collaborative cloud, procurement collaborative cloud, establish data collaborative management channels for chain owners and suppliers Multi -level information synergy. While the supplier's internal management can also be managed by the collaborative cloud, it can also go down to the second -level second -level supplier through the collaborative layer, so as to push through multi -level management and control, thereby running through the entire car supply chain.
While R & D and innovation, the car supply chain collaboration solutions have also made substantial application progress. On the Geega platform of the main enterprise of the automobile chain, the Geega platform has created the supply chain wisdom coordinated solution for it, opened up the upstream and downstream data chain of the automotive industry, and greatly improves the flexible capabilities of the entire industry chain and the rapid response capabilities of the market.
The cross -industry and cross -domain empowerment of the wisdom "originated from manufacturing, nurturing manufacturing", through serving the "chain owner" enterprise, opening up the core elements such as upstream and downstream resources, data, etc., and the collaboration of the full chain under the unified standards. The mechanism model gradually realizes empowerment and wisdom from the automotive industry to the general industry, and helps digital change in the entire industry chain.
Take the digital transformation of the entire life cycle of the aluminum industry in the aluminum industry as an example, take the promotion of excellent operations as the core, and cut in from the aspects of green intensive production, energy dynamic allocation, energy consumption and carbon emissions control. Digital transformation of the whole life cycle to improve production efficiency and automatically optimize the production process and process.
At present, it focuses on multiple vertical industries such as automobiles, light industry, electronics, non -ferrous metals, and energy mining. In the future, it will adhere to independent innovation, take technological breakthroughs as the core, further accelerate the independent control and controlling of key core technologies in the process of digitalization and industrial intelligence in the process of factory, and help promote the realization of the industrial manufacturing industry to achieve a level transition.
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